CVE-2026-71211 (GCVE-0-2026-71211)
Vulnerability from cvelistv5 – Published: 2026-08-05 06:59 – Updated: 2026-08-10 11:45
VLAI
EPSS
VEX
Title
mlflow - Unvalidated Gateway Secret api_base Enables SSRF via Gateway Proxy Endpoint
Summary
MLflow's AI Gateway accepts an auth_config.api_base value when creating a gateway secret (mlflow/server/handlers.py, _create_gateway_secret) with no validation of scheme, host, or IP range; the value is stored verbatim. The gateway proxy endpoint (mlflow/server/gateway_api.py, raw_proxy) subsequently issues an HTTP request to that stored api_base plus a caller-supplied path and returns the full response body.
Severity
7.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-05 13:26 UTC
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/mlflow/mlflow/tree/v3.14.0/mlflow | third-party-advisory |
Impacted products
Date Public
2026-08-05 06:59
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-71211",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-05T13:26:24.686179Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-08-05T13:26:34.048Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unknown",
"product": "mlflow",
"programFiles": [
"mlflow/server/handlers.py",
"mlflow/server/gateway_api.py"
],
"vendor": "mlflow",
"versions": [
{
"lessThanOrEqual": "3.14.0",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "finder",
"value": "Abdivasiyev Sunnatillo"
}
],
"datePublic": "2026-08-05T06:59:23.394Z",
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cp\u003eMLflow\u0027s AI Gateway accepts an auth_config.api_base value when creating a gateway secret (mlflow/server/handlers.py, _create_gateway_secret) with no validation of scheme, host, or IP range; the value is stored verbatim. The gateway proxy endpoint (mlflow/server/gateway_api.py, raw_proxy) subsequently issues an HTTP request to that stored api_base plus a caller-supplied path and returns the full response body.\u003c/p\u003e"
}
],
"value": "MLflow\u0027s AI Gateway accepts an auth_config.api_base value when creating a gateway secret (mlflow/server/handlers.py, _create_gateway_secret) with no validation of scheme, host, or IP range; the value is stored verbatim. The gateway proxy endpoint (mlflow/server/gateway_api.py, raw_proxy) subsequently issues an HTTP request to that stored api_base plus a caller-supplied path and returns the full response body."
}
],
"metrics": [
{
"other": {
"content": {
"value": "HIGH"
},
"type": "CVSS_3.1_severity"
}
},
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-918",
"description": "CWE-918 Server-Side Request Forgery (SSRF)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-08-10T11:45:17.551Z",
"orgId": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"shortName": "TuranSec"
},
"references": [
{
"tags": [
"third-party-advisory"
],
"url": "https://github.com/mlflow/mlflow/tree/v3.14.0/mlflow"
}
],
"source": {
"discovery": "EXTERNAL"
},
"title": "mlflow - Unvalidated Gateway Secret api_base Enables SSRF via Gateway Proxy Endpoint"
}
},
"cveMetadata": {
"assignerOrgId": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"assignerShortName": "TuranSec",
"cveId": "CVE-2026-71211",
"datePublished": "2026-08-05T06:59:23.394Z",
"dateReserved": "2026-08-05T06:56:15.799Z",
"dateUpdated": "2026-08-10T11:45:17.551Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-71211",
"date": "2026-09-24",
"epss": "0.0029",
"percentile": "0.1915"
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"defaultStatus": "unknown",
"product": "mlflow",
"programFiles": [
"mlflow/server/handlers.py",
"mlflow/server/gateway_api.py"
],
"vendor": "mlflow",
"versions": [
{
"lessThanOrEqual": "3.14.0",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"source": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "MLflow\u0027s AI Gateway accepts an auth_config.api_base value when creating a gateway secret (mlflow/server/handlers.py, _create_gateway_secret) with no validation of scheme, host, or IP range; the value is stored verbatim. The gateway proxy endpoint (mlflow/server/gateway_api.py, raw_proxy) subsequently issues an HTTP request to that stored api_base plus a caller-supplied path and returns the full response body."
}
],
"id": "CVE-2026-71211",
"lastModified": "2026-08-26T17:36:16.900",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 4.2,
"source": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-71211",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-05T13:26:24.686179Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-05T08:16:43.367",
"references": [
{
"source": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"url": "https://github.com/mlflow/mlflow/tree/v3.14.0/mlflow"
}
],
"sourceIdentifier": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-918"
}
],
"source": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"type": "Secondary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-08-27T11:40:07+00:00",
"cve": "CVE-2026-71211",
"id": "CVE-2026-71211",
"initial_release_date": "2026-08-05T06:59:23.394000+00:00",
"product_status:known_affected": "43",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "mlflow: MLflow: Server-Side Request Forgery via unvalidated AI Gateway secret allows information disclosure",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-71211.json",
"version": "3"
},
"vulnrichment": {
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-71211",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-05T13:26:24.686179Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-08-05T13:26:28.373Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"defaultStatus": "unknown",
"product": "mlflow",
"programFiles": [
"mlflow/server/handlers.py",
"mlflow/server/gateway_api.py"
],
"vendor": "mlflow",
"versions": [
{
"lessThanOrEqual": "3.14.0",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"credits": [
{
"lang": "en",
"type": "finder",
"value": "Abdivasiyev Sunnatillo"
}
],
"datePublic": "2026-08-05T06:59:23.394Z",
"descriptions": [
{
"lang": "en",
"supportingMedia": [
{
"base64": false,
"type": "text/html",
"value": "\u003cp\u003eMLflow\u0027s AI Gateway accepts an auth_config.api_base value when creating a gateway secret (mlflow/server/handlers.py, _create_gateway_secret) with no validation of scheme, host, or IP range; the value is stored verbatim. The gateway proxy endpoint (mlflow/server/gateway_api.py, raw_proxy) subsequently issues an HTTP request to that stored api_base plus a caller-supplied path and returns the full response body.\u003c/p\u003e"
}
],
"value": "MLflow\u0027s AI Gateway accepts an auth_config.api_base value when creating a gateway secret (mlflow/server/handlers.py, _create_gateway_secret) with no validation of scheme, host, or IP range; the value is stored verbatim. The gateway proxy endpoint (mlflow/server/gateway_api.py, raw_proxy) subsequently issues an HTTP request to that stored api_base plus a caller-supplied path and returns the full response body."
}
],
"metrics": [
{
"other": {
"content": {
"value": "HIGH"
},
"type": "CVSS_3.1_severity"
}
},
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-918",
"description": "CWE-918 Server-Side Request Forgery (SSRF)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-08-10T11:45:17.551Z",
"orgId": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"shortName": "TuranSec"
},
"references": [
{
"tags": [
"third-party-advisory"
],
"url": "https://github.com/mlflow/mlflow/tree/v3.14.0/mlflow"
}
],
"source": {
"discovery": "EXTERNAL"
},
"title": "mlflow - Unvalidated Gateway Secret api_base Enables SSRF via Gateway Proxy Endpoint"
}
},
"cveMetadata": {
"assignerOrgId": "309f9ea4-e3e9-4c6c-b79d-e8eb01244f2c",
"assignerShortName": "TuranSec",
"cveId": "CVE-2026-71211",
"datePublished": "2026-08-05T06:59:23.394Z",
"dateReserved": "2026-08-05T06:56:15.799Z",
"dateUpdated": "2026-08-10T11:45:17.551Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
Loading…
Loading…
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Loading…
Loading…
The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Loading…
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
Loading…